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The Theory of Cubature Formulas (Hardcover, 1997 ed.) Loot Price: R2,721
Discovery Miles 27 210
The Theory of Cubature Formulas (Hardcover, 1997 ed.): S.L. Sobolev, Vladimir L. Vaskevich

The Theory of Cubature Formulas (Hardcover, 1997 ed.)

S.L. Sobolev, Vladimir L. Vaskevich

Series: Mathematics and Its Applications, 415

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Loot Price R2,721 Discovery Miles 27 210 | Repayment Terms: R255 pm x 12*

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This volume considers various methods for constructing cubature and quadrature formulas of arbitrary degree. These formulas are intended to approximate the calculation of multiple and conventional integrals over a bounded domain of integration. The latter is assumed to have a piecewise-smooth boundary and to be arbitrary in other aspects. Particular emphasis is placed on invariant cubature formulas and those for a cube, a simplex, and other polyhedra. Here, the techniques of functional analysis and partial differential equations are applied to the classical problem of numerical integration, to establish many important and deep analytical properties of cubature formulas. The prerequisites of the theory of many-dimensional discrete function spaces and the theory of finite differences are concisely presented. Special attention is paid to constructing and studying the optimal cubature formulas in Sobolev spaces. As an asymptotically optimal sequence of cubature formulas, a many-dimensional abstraction of the Gregory quadrature is indicated. Audience: This book is intended for researchers having a basic knowledge of functional analysis who are interested in the applications of modern theoretical methods to numerical mathematics.

General

Imprint: Springer
Country of origin: Netherlands
Series: Mathematics and Its Applications, 415
Release date: 2001
First published: 1997
Authors: S.L. Sobolev • Vladimir L. Vaskevich
Dimensions: 235 x 155 x 25mm (L x W x T)
Format: Hardcover
Pages: 418
Edition: 1997 ed.
ISBN-13: 978-0-7923-4631-9
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Mathematics > Probability & statistics
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LSN: 0-7923-4631-9
Barcode: 9780792346319

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